Brice Gaudilliere

According to our database, Brice Gaudilliere authored at least 10 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

AI learning for pediatric right ventricular assessment: development and validation across multiple centers.

Charitha Reddy, Yi Yan, Min Qiu, Yi Tang, Bo Jin, Zhi Han, Yuhang Li, Sihan Zhou, Qiming Tang, Huan Xiao, Shu Yang, Qigui Wen, Lan-Ping Wu, Li-Jun Fu, Ze-Yu Jing, Yi-Jia Yang, Yu-Qi Zhang, Naoto Ozawa, Takumi Ichikawa, Ellen Ling, Ronald J. Wong, Nima Aghaeepour, Brice Gaudilliere, Martin S. Angst, Karl G. Sylvester, Harvey J. Cohen, Gary L. Darmstadt, Henry Chubb, Scott R. Ceresnak, Animesh Tandon, Doff B. McElhinney, Seda Tierney, Hao Zhang, Xuefeng Bruce Ling

npj Digit. Medicine, 2025

Author Correction: A machine learning approach to leveraging electronic health records for enhanced omics analysis.

Samson Mataraso, Camilo Espinosa, David Seong, S. Momsen Reincke, Eloïse Berson, Jonathan D. Reiss, Yeasul Kim, Marc Ghanem, Chi-Hung Shu, Tomin James, Yuqi Tan, Sayane Shome, Ina A. Stelzer, Dorien Feyaerts, Ronald J. Wong, Gary M. Shaw, Martin S. Angst, Brice Gaudilliere, David K. Stevenson, Nima Aghaeepour

Nat. Mac. Intell., 2025

A machine learning approach to leveraging electronic health records for enhanced omics analysis.

Samson Mataraso, Camilo Espinosa, David Seong, S. Momsen Reincke, Eloïse Berson, Jonathan D. Reiss, Yeasul Kim, Marc Ghanem, Chi-Hung Shu, Tomin James, Yuqi Tan, Sayane Shome, Ina A. Stelzer, Dorien Feyaerts, Ronald J. Wong, Gary M. Shaw, Martin S. Angst, Brice Gaudilliere, David K. Stevenson, Nima Aghaeepour

Nat. Mac. Intell., 2025

2024

Generating pregnant patient biological profiles by deconvoluting clinical records with electronic health record foundation models.

David Seong, Samson Mataraso, Camilo Espinosa, Eloïse Berson, S. Momsen Reincke, Lei Xue, Chloe Kashiwagi, Yeasul Kim, Chi-Hung Shu, Philip Chung, Marc Ghanem, Feng Xie, Ronald J. Wong, Martin S. Angst, Brice Gaudilliere, Gary M. Shaw, David K. Stevenson, Nima Aghaeepour

Briefings Bioinform., November, 2024

2023

Deep representation learning identifies associations between physical activity and sleep patterns during pregnancy and prematurity.

Neal G. Ravindra, Camilo Espinosa, Eloïse Berson, Thanaphong Phongpreecha, Peinan Zhao, Martin Becker, Alan L. Chang, Sayane Shome, Ivana Maric, Davide De Francesco, Samson Mataraso, Geetha Saarunya, Melan Thuraiappah, Lei Xue, Brice Gaudilliere, Martin S. Angst, Gary M. Shaw, Erik D. Herzog, David K. Stevenson, Sarah K. England, Nima Aghaeepour

npj Digit. Medicine, 2023

Large-scale correlation network construction for unraveling the coordination of complex biological systems.

Martin Becker, Huda Nassar, Camilo Espinosa, Ina A. Stelzer, Dorien Feyaerts, Eloïse Berson, Neda Hajiakhoond Bidoki, Alan L. Chang, Geetha Saarunya, Anthony Culos, Davide De Francesco, Ramin Fallahzadeh, Qun Liu, Yeasul Kim, Ivana Maric, Samson Mataraso, Seyedeh Neelufar Payrovnaziri, Thanaphong Phongpreecha, Neal G. Ravindra, Natalie Stanley, Sayane Shome, Yuqi Tan, Melan Thuraiappah, Maria Xenochristou, Lei Xue, Gary M. Shaw, David K. Stevenson, Martin S. Angst, Brice Gaudilliere, Nima Aghaeepour

Nat. Comput. Sci., 2023

2022

Early prediction and longitudinal modeling of preeclampsia from multiomics.

Ivana Maric, Kévin Contrepois, Mira N. Moufarrej, Ina A. Stelzer, Dorien Feyaerts, Xiaoyuan Han, Andy Tang, Natalie Stanley, Ronald J. Wong, Gavin M. Traber, Mathew Ellenberger, Alan L. Chang, Ramin Fallahzadeh, Huda Nassar, Martin Becker, Maria Xenochristou, Camilo Espinosa, Davide De Francesco, Mohammad S. Ghaemi, Elizabeth K. Costello, Anthony Culos, Xuefeng Bruce Ling, Karl G. Sylvester, Gary L. Darmstadt, Virginia D. Winn, Gary M. Shaw, David A. Relman, Stephen R. Quake, Martin S. Angst, Michael P. Snyder, David K. Stevenson, Brice Gaudilliere, Nima Aghaeepour

Patterns, 2022

2020

Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions.

Anthony Culos, Amy Tsai, Natalie Stanley, Martin Becker, Mohammad Sajjad Ghaemi, David Mcilwain, Ramin Fallahzadeh, Athena Tanada, Huda Nassar, Camilo Espinosa, Maria Xenochristou, Edward Ganio, Laura Peterson, Xiaoyuan Han, Ina A. Stelzer, Kazuo Ando, Dyani Gaudilliere, Thanaphong Phongpreecha, Ivana Maric, Alan L. Chang, Gary M. Shaw, David K. Stevenson, Sean Bendall, Kara L. Davis, Wendy J. Fantl, Garry P. Nolan, Trevor Hastie, Robert Tibshirani, Martin S. Angst, Brice Gaudilliere, Nima Aghaeepour

Nat. Mach. Intell., 2020

2019

Multiomics modeling of the immunome, transcriptome, microbiome, proteome and metabolome adaptations during human pregnancy.

Mohammad Sajjad Ghaemi, Daniel B. DiGiulio, Kévin Contrepois, Benjamin J. Callahan, Thuy T. M. Ngo, Brittany Lee-McMullen, Benoit Lehallier, Anna Robaczewska, David Mcilwain, Yael Rosenberg-Hasson, Ronald J. Wong, Cecele Quaintance, Anthony Culos, Natalie Stanley, Athena Tanada, Amy Tsai, Dyani Gaudilliere, Edward Ganio, Xiaoyuan Han, Kazuo Ando, Leslie McNeil, Martha Tingle, Paul H. Wise, Ivana Maric, Marina Sirota, Tony Wyss-Coray, Virginia D. Winn, Maurice L. Druzin, Ronald Gibbs, Gary L. Darmstadt, David B. Lewis, Vahid Partovi Nia, Bruno Agard, Robert Tibshirani, Garry P. Nolan, Michael P. Snyder, David A. Relman, Stephen R. Quake, Gary M. Shaw, David K. Stevenson, Martin S. Angst, Brice Gaudilliere, Nima Aghaeepour

Bioinform., 2019

2018

GateFinder: projection-based gating strategy optimization for flow and mass cytometry.

Nima Aghaeepour, Erin F. Simonds, David J. H. F. Knapp, Robert V. Bruggner, Karen Sachs, Anthony Culos, Pier Federico Gherardini, Nikolay Samusik, Gabriela K. Fragiadakis, Sean Bendall, Brice Gaudilliere, Martin S. Angst, Connie J. Eaves, William A. Weiss, Wendy J. Fantl, Garry P. Nolan

Bioinform., 2018